IS-09: PULSERA - developing a fall risk sensor
SOPHIA Franken is a group of companies consisting of regional housing companies and home care services. The group has direct access to over 5 000 care patients and 50 000 tenants.
Taking this market access as a basis, the aim of the project is to develop a method for the intelligent use of a 3D acceleration sensor attached to the wrist for the purpose of permanent and home fall risk detection (FRD), thereby developing a further important milestone for high-quality and efficient home care in the region, with the prospect of integrating the process into the existing range of services and subsequently marketing it.
The need to develop such an FRD concept is based on knowledge of the dramatic significance of falls in the target group concerned (65 years and older). Falls can have drastic consequences for the elderly. Preventive measures for detecting fall risk and minimizing the risk factors (surroundings, physical and psychological factors) cannot take effective hold as there is currently no reliable method of detecting a growing fall risk in the home.
(Statistical) fall risk detection needs to be based on long-term changes in movement parameters, as well as on acceleration patterns of narrowly avoided falls. Reflex reactions by the upper extremities to help people keep their balance form the basis for the assumption that these automatic motion patterns also occur on an everyday basis (tripping, staggering), and are similar to the motion patterns of people when they are balancing.
- SOPHIA living network GmbH
- Friedrich-Alexander-University Erlangen-Nuremberg (FAU)
SOPHIA Consulting & Concept GmbG